Bayesian Inference Under Probability Constraints.
Anna PernestålMattias NybergPublished in: SCAI (2008)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- hierarchical bayesian
- bayesian model
- probability distribution
- variational bayes
- statistical inference
- weighted model counting
- gibbs sampler
- markov chain monte carlo
- variational inference
- probabilistic modeling
- gaussian process
- hidden variables
- bayesian models
- particle filter
- bayesian networks